DataBubble·

Model Detail

GLiNER2-Guardrails-PII-Multi

—

Provider: fastinoCategory: llmPipeline: token-classification

DB Score

14.6

Downloads

Likes

Day

+0.0%

Week

+0.0%

Month

+0.0%

Overview

GLiNER2-Guardrails-PII-Multi is a large language model with 154M parameters released by fastino. The model is registered under the token-classification pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

GLiNER2-Guardrails-PII-Multi ships with 154M parameters. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Use Cases

GLiNER2-Guardrails-PII-Multi is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History

Research Paper

arXiv: 2605.09973→

Model Info

Licenseapache-2.0

Citations1 (0 influential)

Recent newsView all news →

GLiNER2-PII: A Multilingual Model for Personally Identifiable Information Extraction

arXiv:2605.09973v1 Announce Type: cross Abstract: Reliable detection of personally identifiable information (PII) is increasingly important across modern data-processing systems, yet the task remains difficult: PII spans are heterogeneous, locale-dependent, context-sensitive, and often embedded in n

Related Models

gliner2.5-multi-v1

fastino · 282K downloads

gliner2-large-v1

fastino · 160K downloads

bge-small-en-v1.5

BAAI · 59.9M downloads

paraphrase-multilingual-MiniLM-L12-v2

SBERT · 48.0M downloads